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imaging and machine learning. The main task of the successful candidate will be to help redefine certain traditional criteria of comparative anatomy used in archaeozoology and to establish new criteria
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Candidates must have expertise in at least two of the following areas: • Machine learning and its associated mathematical foundations • Embedded systems • Analog / mixed-signal design Website for additional
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at least two of the following areas: Machine learning and associated mathematical foundations Embedded systems Analog/mixed design [1] https://emergences.pepr-ia.fr [2] https://www.frontiersin.org/articles
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 21 days ago
Essential qualifications: Advanced degree (Master's or PhD) in Computer Science, AI, Machine Learning, or related field Demonstrated expertise in large-scale generative AI systems (inference and training
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Ecole Polytechnique, in Palaiseau, France, and will consist of theoretical and numerical modellng. The thesis will consist of modeling turbulence using Machine Learning methods, in particular Physics
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Qualifications/knowledge : PhD in computer science, with a specialisation in computer vision, digital geometry processing and/or machine learning. No specific knowledge about plants is required. Operational skills
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tasks and zero-shot evaluation in linguistic analysis. Profile • Master’s degree (M2) or PhD in computer science, NLP, machine learning, deep learning, or a related field. • Strong experience in machine
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processing, visualization. You will explore new avenues in coherent imaging, e.g. exploiting machine learning or introducing new techniques exploiting the EBS-enhanced coherent photon flux. You will also
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Institut Pierre Louis d'Epidémiologie et de Santé Publique (IPLESP) | Paris La Defense, le de France | France | about 1 month ago
a postdoctoral researcher to work full-time on the DiscoReel project. The postdoc will work on developing machine and deep learning methods for epidemic modeling, integrating them with mechanistic
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use, utilizing innovative binary file analysis and deep learning to improve the security of computer systems. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5104-MYRLAU-003